"""simple docstring"""





def 	snake_case__					(			_snake_case				:       Any							,      _snake_case				:       Union[str, Any]     ):

      """simple docstring"""

      return int(input_a == input_a == 0     )
def 	snake_case__					(			):

      """simple docstring"""

      print("Truth Table of NOR Gate:"     )
      print("|   Input 1   |  Input 2  | Output |"     )
      print(F'|      0      |    0      |  {nor_gate(0							,      0     )}     |'     )
      print(F'|      0      |    1      |  {nor_gate(0							,      1     )}     |'     )
      print(F'|      1      |    0      |  {nor_gate(1							,      0     )}     |'     )
      print(F'|      1      |    1      |  {nor_gate(1							,      1     )}     |'     )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()


import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


__snake_case				:      Union[str, Any]   		=			logging.getLogger(__name__)



@dataclass
class        A__(a_							):
						"""simple docstring"""






						_A    :				Optional[float]       					=			field(
						    default=0.0,  metadata={'''help''': '''The label smoothing epsilon to apply (if not zero).'''}							)
						_A    :				bool       					=			field(default=a_,  metadata={'''help''': '''Whether to SortishSamler or not.'''}							)
						_A    :				bool       					=			field(
						    default=a_,  metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}							)
						_A    :				bool       					=			field(default=a_,  metadata={'''help''': '''whether to use adafactor'''}							)
						_A    :				Optional[float]       					=			field(
						    default=a_,  metadata={'''help''': '''Encoder layer dropout probability. Goes into model.config.'''}							)
						_A    :				Optional[float]       					=			field(
						    default=a_,  metadata={'''help''': '''Decoder layer dropout probability. Goes into model.config.'''}							)
						_A    :				Optional[float]       					=			field(default=a_,  metadata={'''help''': '''Dropout probability. Goes into model.config.'''}							)
						_A    :				Optional[float]       					=			field(
						    default=a_,  metadata={'''help''': '''Attention dropout probability. Goes into model.config.'''}							)
						_A    :				Optional[str]       					=			field(
						    default='''linear''',  metadata={'''help''': f'''Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()							)}'''},  )


